何东轩

何东轩

北京理工大学

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基于深度学习的太赫兹信号处理关键技术

国家自然科学基金青年基金，2022-2023, 项目负责人

超高速太赫兹传输面临的传输性能差、采样功耗大、安全性受限等挑战，有鉴于此，本项目研究基于深度学习的太赫兹信号处理关键技术。

通信自组网算法研究

企业横向项目，2023, 项目负责人

面向定向天线自组网网络的组网需求，研究集中式及分布式的组网协议，并基于NS3完成网络协议仿真。

低复杂度太赫兹实时传输样机研制及实验验证

国家重点研发计划，2024-2026, 子课题负责人

课题主要研究面向I/Q失衡及相位噪声的器件失真补偿方案，研究射频链路非理想性下的高可靠无线传输机制，研究模数转换器采样精度受限条件下的鲁棒接收方法，支撑基带平台实现低复杂度的超高速基带信号处理，并协助搭建出大容量THz通信实时链路。

***通信处理模块

企业横向项目，2024, 项目负责人

基于现有卫星通信体制，研制隐蔽通信技术。

publications

[C01] Indirect Learning Hybrid Memory Predistorter Based on Polynomial and Look-Up-Table

Published in 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015

This paper is about a hybrid POLY and LUT predistorter for memory nonlinear system in wideband scenarios.

Recommended citation: Z. Long, H. Wang, N. Guan, N. Wu and D. He, "Indirect Learning Hybrid Memory Predistorter Based on Polynomial and Look-Up-Table," in Proc. 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), Glasgow, UK, 2015, pp. 1-5.
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[C02] Energy-efficient secure transmission in massive MIMO systems with pilot attack

Published in 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016

This paper is about the energy-efficient power allocation for secure transmission in MIMO systems, where an active multi-antennas eavesdropper sends pilot signals as that of destination receiver to transmitter simultaneously in the uplink training phase.

Recommended citation: B. Li, L. Li, D. He, J. Chen, and W. Kong, "Energy-efficient secure transmission in massive MIMO systems with pilot attack," in Proc. IEEE International Conference on Wireless Communications and Signal Processing (WCSP), Yangzhou, China, Nov. 13-15, 2016.
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[J01] Transmit antenna selection in MIMO wiretap channels: A machine learning approach

Published in IEEE Wireless Communications Letters, 2018

This paper is about utilizing machine learning in enhancing physical layer security in multi-input multi-output multi-antenna-eavesdropper wiretap channels.

Recommended citation: D. He, C. Liu, T. Q. S. Quek, and H. Wang, "Transmit antenna selection in MIMO wiretap channels: A machine learning approach," IEEE Wireless Commun. Lett., vol. 7, no. 4, pp. 634–637, Aug. 2018.
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[J02] Learning-Based Wireless Powered Secure Transmission

Published in IEEE Wireless Communications Letters, 2019

This paper is about a learning-based wireless powered secure transmission, in which a source utilizes energy harvested from a power beacon to communicate with a legitimate receiver, in the presence of an eavesdropper.

Recommended citation: D. He, C. Liu, H. Wang, and T. Q. S. Quek, "Learning-based wireless powered secure transmission," IEEE Wireless Commun. Lett., vol. 8, no. 2, pp. 600–603, Apr. 2019.
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[C03] Secure communication with wireless powered friendly jammers under multiple eavesdroppers

Published in 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019

This paper is about a secure communication scheme, where a source transmits information to the legitimate receiver in the presence of multiple eavesdroppers.

Recommended citation: D. He, H. Zhou, H. Wang, and D. Yang, "Secure communication with wireless powered friendly jammers under multiple eavesdroppers," in Proc. IEEE 89th Veh. Technol. Conf. (VTC-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1–5.
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[C04] Optimal relay selection with a full-duplex active eavesdropper in cooperative wireless networks

Published in 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019

This paper is about the physical layer security of a dual-hop cooperative network in the presence of a full-duplex active eavesdropper, which can overhear the confidential signals and transmit jamming signals simultaneously.

Recommended citation: H. Zhou, D. He, H. Wang and D. Yang, "Optimal Relay Selection with a Full-Duplex Active Eavesdropper in Cooperative Wireless Networks," in Proc. IEEE 89th Veh. Technol. Conf. (VTC-Spring), Kuala Lumpur, Malaysia, 2019, pp. 1–5.
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[C05] Learning-assisted secure relay selection with outdated CSI for finite-state Markov channel

Published in 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021

This paper is about secure relay selection for finite-state Markov channel and a Q-learning assisted relay selection scheme

Recommended citation: J. Lu, D. He, and Z. Wang, "Learning-assisted secure relay selection with outdated CSI for finite-state Markov channel," in Proc. IEEE 93rd Veh. Technol. Conf. (VTC-Spring), Helsinki, Finland, Apr. 2021, pp. 1–5.
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[J03] Orthogonal time frequency space (OTFS) with dual-mode index modulation

Published in IEEE Wireless Communications Letters, 2021

This paper is about a new transmission scheme, called OTFS with dual-mode index modulation (OTFS-DM-IM), which can balance the transmission reliability and spectral efficiency.

Recommended citation: H. Zhao, D. He, Z. Kang, and H. Wang, "Orthogonal time frequency space (OTFS) with dual-mode index modulation," IEEE Wireless Commun. Lett., vol. 10, no. 5, pp. 991–995, May 2021.
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[C06] Deep learning assisted mmWave beam prediction with prior low-frequency information

Published in 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021

This paper is about beam tracking with prior low-frequency information to predict the optimal mmWave beam, where deep learning is adopted to enhance the prediction accuracy.

Recommended citation: K. Ma, D. He, H. Sun, and Z. Wang, "Deep learning assisted mmWave beam prediction with prior low-frequency information," in Proc. IEEE Int. Conf. Commun., Jun. 2021, pp. 1–6.
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[J04] Deep learning assisted calibrated beam training for millimeter-wave communication systems

Published in IEEE Transactions on Communications, 2021

This paper is about a wide beam based training approach to calibrate the narrow beam direction according to the channel power leakage.

Recommended citation: K. Ma, D. He, H. Sun, Z. Wang, and S. Chen, "Deep learning assisted calibrated beam training for millimeter-wave communication systems," IEEE Trans. Commun., vol. 69, no. 10, pp. 6706–6721, Oct. 2021.
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[J05] Deep learning-assisted TeraHertz QPSK detection relying on single-bit quantization

Published in IEEE Transactions on Communications, 2021

This paper is about a deep learning-assisted THz receiver to address imperfections of THz devices and single-bit quantization, including in-phase/quadrature-phase imbalance, phase noise and nonlinearity.

Recommended citation: D. He, Z. Wang, T. Q. S. Quek, S. Chen, and L. Hanzo, "Deep learning assisted terahertz QPSK detection relying on single-bit quantization," IEEE Trans. Commun., vol. 69, no. 12, pp. 8175–8187, Dec. 2021.
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[J07] Secure routing in multihop ad-hoc networks with srr-based reinforcement learning

Published in IEEE Wireless Communications Letters, 2022

This paper is about a reinforcement learning-assisted secure routing methodology for multihop ad-hoc networks in the presence of multiple eavesdroppers.

Recommended citation: J. Lu, D. He, and Z. Wang, "Secure routing in multihop ad-hoc networks with SRR-based reinforcement learning," IEEE Wireless Commun. Lett., vol. 11, no. 2, pp. 362–366, Feb. 2022.
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[J08] Autoencoder with fitting network for Terahertz wireless communications: A deep learning approach

Published in China Communications, 2022

This paper is about an improved autoencoder including coding the transmitted symbols at the transmitter and decoding the corresponding signals at the receiver to improve the robustness against these hybrid distortions in Terahertz wireless communications

Recommended citation: Z. Huang, D. He, J. Chen, Z. Wang, and S. Chen, "Autoencoder with fitting network for terahertz wireless communications: A deep learning approach," China Commun., vol. 19, no. 3, pp. 172–180, Mar. 2022.
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[J09] DeepAntiJam: Stackelberg game-oriented secure transmission via deep reinforcement learning

Published in IEEE Communications Letters, 2022

This paper is about a deep reinforcement learning-assisted anti-jamming transmission scheme (DeepAntiJam) to guarantee reliable and creditable transmission in the presence of one smart jammer and multiple eavesdroppers.

Recommended citation: D. He and Z. Wang, "Deep learning-assisted demodulation for terahertz communications under hybrid distortions," IEEE Commun. Lett., vol. 26, no. 2, pp. 325–329, Feb. 2022.
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[C07] PCA-BD-Based Broadband Hybrid Precoding for Multi-user Massive MIMO Systems

Published in 2022 IEEE 22nd International Conference on Communication Technology (ICCT), 2022

This paper is about a principal component analysis (PCA) and block diagonalization (BD) based precoding method.

Recommended citation: T. Zhu, Y. Sun, D. He and H. Wang, "PCA-BD-Based Broadband Hybrid Precoding for Multi-user Massive MIMO Systems," in Proc. 2022 IEEE 22nd International Conference on Communication Technology (ICCT), Nanjing, China, Nov. 2022, pp. 184-189.
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[J10] UAV-Assisted Satellite-Terrestrial Secure Communication Using Large-Scale Antenna Array With One-Bit ADCs/DACs

Published in IEEE Transactions on Communications, 2023

This paper is about a novel architecture with one-bit analog-to-digital converters (ADCs) and one-bit digital-to-analog converters (DACs) for UAV-assisted satellite-terrestrial communication systems using large-scale antenna array.

Recommended citation: D. He, Z. Sha, H. Liu, T. Mao, and Z. Wang, "UAV-assisted satellite-terrestrial secure communication using large-scale antenna array with one-bit ADCs/DACs," IEEE Trans. Commun., vol. 71, no. 1, pp. 580–594, Jan. 2023.
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Published in , 1900

[J11] Performance Comparison of Single-Carrier and Multi-Carrier Waveforms over Terahertz Wireless Channels

Published in Digital Communications and Networks, 2023

This paper is about waveform comparison over Tearhertz channel, where both single-carrier and multi-carrier waveforms are considered.

Recommended citation: D. He, Z. Zhang, H. Lin, Z. Wu, Y. Huang, Z. Wang. "Performance Comparison of Single-Carrier and Multi-Carrier Waveforms over Terahertz Wireless Channels," Digital Commun. Netw., vol. 10, no. 5, pp. 1297-1304, Oct. 2024.
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[J12] SSK Based PSK-LoRa Modulation for IoT Communications

Published in IEEE Open Journal of the Communications Society, 2023

This paper is about SSK PSK-LoRa (slope-shift-keying and phase-shift-keying LoRa) modulation, which can achieve higher SE and better energy efficiency (EE) than the conventional LoRa modulation.

Recommended citation: Q. Yu, D. He, Z. Lu, and H. Wang, "SSK Based PSK-LoRa Modulation for IoT Communications," IEEE Open J. Commun. Soc., vol. 4, pp. 1487–1498, Jul. 2023.
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[C08] BiLSTM-Based Frame Synchronization for Overlapped S-AIS Signals: A Learning-Empowered Approach

Published in 2023 IEEE/CIC International Conference on Communications in China (ICCC), 2023

This paper is about two learning-empowered frame synchronization methods.

Recommended citation: T. Yang, D. He, Z. Lu, H. Wang, H. Zhao and Z. Wu, "BiLSTM-Based Frame Synchronization for Overlapped S-AIS Signals: A Learning-Empowered Approach," in Proc. 2023 IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, 2023, pp. 1-6.
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[J13] Two-Stage LMMSE/DNN Receiver for High-Order Modulation

Published in IEEE Communications Letters , 2023

This paper is about a two-stage receiver consisting of linear minimize mean squared error (LMMSE) equalizer and deep neural network (DNN) demodulator, namely TSLD receiver.

Recommended citation: Z. Huang; D. He; Z. Wang, "Two-Stage LMMSE/DNN Receiver for High-Order Modulation," IEEE Commun. Lett., vol. 27, no. 8, pp. 2068–2072, Aug. 2023.
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[J14] Design and Implementation of Spectrally Efficient Frequency Division Multiplexing Receiver

Published in IEEE Access , 2023

This paper is about the design of SEFDM receiver, including sampling frequency synchronization (SFS), timing synchronization, phase recovery, and detector design.

Recommended citation: Y. Qi, T. Zhang, Y. Feng, Z. Qin and D. He, "Design and Implementation of Spectrally Efficient Frequency Division Multiplexing Receiver," IEEE Access, vol. 11, pp. 121482–121491, Nov. 2023.
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[C09] Improved Impulsive Noise Suppression Method: Joint Myriad Detection and Gaussian Fitting Robust Local Weighted Smoothing

Published in 2023 9th International Conference on Computer and Communications (ICCC), 2023

This paper is about a Myriad detection - Gaussian fitting robust local weighted regression smoothing (M-GLOESS) algorithm.

Recommended citation: Y. Zhan, D. He, S. An and H. Wang, "Improved Impulsive Noise Suppression Method: Joint Myriad Detection and Gaussian Fitting Robust Local Weighted Smoothing," in Proc. 2023 9th International Conference on Computer and Communications (ICCC), Chengdu, China, 2023, pp. 752-756.
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[J15] Alternating optimization based hybrid transceiver designs for wideband millimeter-wave massive multiuser MIMO-OFDM systems

Published in IEEE Transactions on Wireless Communications, 2023

This paper is about several hybrid transceiver designs in wideband mmWave massive multiuser MIMO-OFDM systems for maximizing the spectral efficiency.

Recommended citation: M. Yuan, H. Wang, H. Yin, and D. He, "Alternating optimization based hybrid transceiver designs for wideband millimeter-wave massive multiuser MIMO-OFDM systems," IEEE Trans. Wireless Commun., vol. 22, no. 12, pp. 9201–9217, Dec. 2023.
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[J16] Model-Driven IEP-GNN Framework for MIMO Detection With Bayesian Optimization

Published in IEEE Wireless Communications Letters, 2024

This paper is about a model-driven detector called IEP-GNN is proposed for massive multiple-input and multiple-output (MIMO) systems.

Recommended citation: Z. Liu, D. He, N. Wu, Q. Yan, and Y. Li, "Model-driven IEP-GNN framework for MIMO detection with Bayesian optimization," IEEE Wireless Commun. Lett., vol. 13, no. 2, pp. 387–391, Feb. 2024.
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[C10] An Action Recognition Algorithm Based on Two-Stream Deep Learning for Metaverse Applications

Published in 2024 International Wireless Communications and Mobile Computing (IWCMC), 2024

This paper is about a residual artificial neural network with two-stream structure to further improve the accuracy of action recognition algorithm.

Recommended citation: J. Liu, T. Mao, Y. Huang and D. He, "An Action Recognition Algorithm Based on Two-Stream Deep Learning for Metaverse Applications," in Proc. 2024 International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, 2024, pp. 639-642.
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[J17] Integrating Sensing and Communication for IoT Systems: Task-Oriented Control Perspective

Published in IEEE Internet of Things Magazine, 2024

This paper provides an overview of ISAC-enabled IoT systems in terms of their framework and key technologies.

Recommended citation: D. He, H. Hou, R. Jiang, X. Yu, Z. Zhao, Y. Mo, Y. Huang, W. Yu, and T. Q. S. Quek, "Integrating Sensing and Communication for IoT Systems: Task-Oriented Control Perspective; IEEE Internet Things Mag., vol. 7, no. 4, pp. 76–83, Jun. 2024.
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[C11] Learning-Assisted Receiver for ACO-OFDM with Device Imperfections

Published in 2024 IEEE/CIC International Conference on Communications in China (ICCC), 2024

This paper is about a learning-assisted receiver, where convolutional neural network (CNN) is adopted to demodulate the received signal with distortion.

Recommended citation: L. Li, H. Liu, T. Mao, D. He and H. Hou, "Learning-Assisted Receiver for ACO-OFDM with Device Imperfections," in Proc. 2024 IEEE/CIC International Conference on Communications in China (ICCC), Hangzhou, China, 2024, pp. 2012-2016.
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[C12] Reinforcement-Learning-Enabled Beam Alignment for Water-Air Direct Optical Wireless Communications

Published in 2024 IEEE/CIC International Conference on Communications in China (ICCC), 2024

This paper is about one novel beam alignment strategy based on deep reinforcement learning (DRL) for water-air direct optical wireless communications.

Recommended citation: J. Liu, T. Mao, D. He, Y. Yang, Z. Gao, and D. Zheng, "Reinforcement-Learning-Enabled Beam Alignment for Water-Air Direct Optical Wireless Communications," in Proc. 2024 IEEE/CIC International Conference on Communications in China (ICCC), Hangzhou, China, 2024, pp. 138-143.
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[C13] Cell-Free Integrated Sensing and Communication for UGV Detection Based on Decomposed Back Projection Algorithm

Published in 2024 IEEE International Conference on Unmanned Systems (ICUS), 2024

This paper is about the localization and velocimetry problem of UGV by integrated sensing and communications in a Sub-6GHz cell-free system.

Recommended citation: Z. Yue, Y. Huang, H. Hou and D. He, "Cell-Free Integrated Sensing and Communication for UGV Detection Based on Decomposed Back Projection Algorithm," in Proc. 2024 IEEE International Conference on Unmanned Systems (ICUS), Nanjing, China, 2024, pp. 1504-1509.
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[C14] UAV-Assisted Legitimate Wireless Surveillance: Performance Analysis and Optimization

Published in 2024 IEEE International Conference on Unmanned Systems (ICUS), 2024

This paper is about a wireless legitimate surveillance system, where a multi-antenna legitimate monitor unmanned aerial vehicle (UAV) aims to eavesdrop a suspicious communication link with the help of a jammer UAV.

Recommended citation: D. He and H. Hou, "UAV-Assisted Legitimate Wireless Surveillance: Performance Analysis and Optimization," in Proc. 2024 IEEE International Conference on Unmanned Systems (ICUS), Nanjing, China, 2024, pp. 1975-1979.
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[J19] Enhanced Group-Based Chirp Spread Spectrum Modulation: Design and Performance Analysis

Published in IEEE Internet of Things Journal, 2024

This paper is about two enhanced group-based CSS modulation schemes, named IQ-GCSS (in-phase and quadrature group-based CSS) and TDM-GCSS (time domain multiplexed group-based CSS), which can achieve much higher SE than the conventional LoRa modulation.

Recommended citation: Q. Yu, H. Wang, D. He, and Z. Lu, "Enhanced Group-Based Chirp Spread Spectrum Modulation: Design and Performance Analysis," IEEE Internet Things J., vol. 12, no. 5, pp. 5079-5092, Mar. 2025.
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[J20] A Lightweight and Efficient Key Generation Scheme From OFDM Subcarriers’ Channel Responses

Published in IEEE Communications Letters, 2024

This paper is about a physical layer secret key generation (PLSKG) protocol utilizing the amplitude of channel frequency response (CFR) of Orthogonal Frequency Division Multiplexing (OFDM) subcarriers.

Recommended citation: A. F. Kawoya, H. Wang, and D. He, "A Lightweight and Efficient Key Generation Scheme From OFDM Subcarriers’ Channel Responses," IEEE Wireless Commun. Lett., vol. 13, no. 11, pp. 3177–3181, Nov. 2024.
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[C15] A Unified Tensor-Based Joint Communication and Sensing Parameter Estimation for ISAC with Large-Scale User Access

Published in 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2024

This paper is about the combination of active user detection (AUD) and integrated sensing and communication (ISAC).

Recommended citation: T. Yang, D. He, H. Hou, H. Wang, Y. Huang, and Z. Wang, "A Unified Tensor-Based Joint Communication and Sensing Parameter Estimation for ISAC with Large-Scale User Access," in Proc. 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), Zhuhai, China, 2024, pp. 1-6.
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[C16] DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs

Published in 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2024

This paper is about a STIN architecture based on artificial intelligence (AI) algorithms and the process of embedding Service Function Chains (SFCs) into highly dynamic STINs.

Recommended citation: L. Li, C. Yang, H. Li and D. He, "DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs," in Proc. 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), Zhuhai, China, 2024, pp. 1-5.
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[C17] Parameter Estimation of Sensing Targets in OTFS-ISAC: Challenges and Applications

Published in 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2024

This paper is about the parameter estimation problem of sensing targets in the OTFS-ISAC system.

Recommended citation: G. Jiao, R. Jiang, Y. Peng and D. He, "Parameter Estimation of Sensing Targets in OTFS-ISAC: Challenges and Applications," in Proc. 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), Zhuhai, China, 2024, pp. 1-6.
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[J21] Layered Group-Based Chirp Spread Spectrum Modulation: Waveform Design and Performance Analysis

Published in IEEE Transactions on Communications, 2024

This paper is about waveform design and performance analysis for layered group-based chirp spread spectrum modulation.

Recommended citation: Q. Yu, Z. Lu, D. He, and H. Wang, "Layered Group-Based Chirp Spread Spectrum Modulation: Waveform Design and Performance Analysis," IEEE Trans. Commun., vol. 73, no. 7, pp. 5051-5064, Jul. 2025.
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[J22] Integrated Sensing and Communication Receiver Design for OTFS-based MIMO System: A Unified Variational Inference Framework

Published in IEEE Journal on Selected Areas in Communications, 2025

This paper is about a novel integrated sensing and communication (ISAC) receiver design framework for OTFS-based MIMO systems from a unified perspective of variational inference.

Recommended citation: N. Wu, H. Li, D. He, A. Nallanathan, and T. Q.S. Quek, "Integrated Sensing and Communication Receiver Design for OTFS-based MIMO System: A Unified Variational Inference Framework," IEEE J. Sel. Areas Commun., vol. 43, no. 4, pp. 1339-1353, Apr. 2025.
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[J23] A Unified Tensor-Based Joint AUD and ISAC Parameter Estimation With Large-Scale User Access

Published in IEEE Transactions on Cognitive Communications and Networking, 2025

This paper is about a unified tensor-based joint communication and sensing parameter estimation algorithm.

Recommended citation: T. Yang, D. He, H. Hou, H. Wang, H. Yin, Y. Huang, Z. Wang, and T. Q.S. Quek, "A Unified Tensor-Based Joint AUD and ISAC Parameter Estimation With Large-Scale User Access," IEEE Trans. Cogn. Commun. Netw., , vol. 11, no. 5, pp. 3047-3061, Oct. 2025.
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[J24] GNN-Assisted BiG-AMP: Joint Channel Estimation and Data Detection for Massive MIMO Receiver

Published in IEEE Transactions on Wireless Communication, 2025

This paper is about a graph neural network (GNN)-assisted bilinear inference approach to enhance the receiver performance of the MIMO system through message passing-based joint channel estimation and data detection (JCD).

Recommended citation: Z. Liu, N. Wu, D. He, W. Yuan, Y. Li, and T. Q.S. Quek, "GNN-Assisted BiG-AMP: Joint Channel Estimation and Data Detection for Massive MIMO Receiver," IEEE Trans. Wireless Commun., vol. 24, no. 6, pp. 4631-4646, Apr. 2025.
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[J25] Tensor-Based Unified Joint Channel Estimation and Active Device Detection Scheme for High-Mobility Grant-Free Random Access Scenarios

Published in IEEE Internet of Things Journal, 2025

This paper investigates massive grant-free random access (GF-RA) in high mobility scenarios, focusing on active device detection (ADD) and channel estimation (CE) under fast time-varying channels.

Recommended citation: Z. Kang, D. He, H. Wang, Z. Wang, and Z. Han, "Tensor-Based Unified Joint Channel Estimation and Active Device Detection Scheme for High-Mobility Grant-Free Random Access Scenarios," IEEE Internet Things J., vol. 12, no. 14, pp. 26415-26429, 15 Jul. 2025.
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[C18] Beamforming Optimization for STAR-RIS-Assisted Integrated Sensing and Communication

Published in 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025

In this paper, simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted integrated sensing and communication (ISAC) is considered, and a novel method rooted in fractional programming (FP) and block coordinate descent (BCD) is introduced.

Recommended citation: F. Zhao, Z. Pan, X. Xia, M. Yuan, D. He and H. Hou, "DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs," in Proc. 2025 International Wireless Communications and Mobile Computing (IWCMC), Abu Dhabi, United Arab Emirates, 2025, pp. 740-745.
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[C19] Codebook Design for Holographic MIMO Near-Field Prospects and Road to Standardization

Published in 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025

This article investigates the codebook solution for HMIMO, unmasking a number of challenges intrinsic in the near-field context and limitations of applying codebooks specified in current standards.

Recommended citation: Y. Chen, D. He, S. Li and T. Mao, "DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs," in Proc. 2025 International Wireless Communications and Mobile Computing (IWCMC), Abu Dhabi, United Arab Emirates, 2025, pp. 1084-1090.
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[C20] Low-Complexity Joint Range and Velocity Estimation for OFDM-Based Integrated Sensing and Communication

Published in 2025 International Wireless Communications and Mobile Computing (IWCMC), 2025

This paper proposes a low-complexity joint range and velocity estimation algorithm, referred to as the particle swarm optimization reconstructed subspace multiple signal classification (PSO-RS-MUSIC)

Recommended citation: Y. Cao, D. He, T. Yang, H. Wang and R. Jiang, "DRL-Based Service Function Chains Embedding Through Network Function Virtualization in STINs," in Proc. 2025 International Wireless Communications and Mobile Computing (IWCMC), Abu Dhabi, United Arab Emirates, 2025, pp. 1047-1052.
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[J26] Towards LoRa-Based LEO Satellite IoT: A Stochastic Geometry Perspective

Published in IEEE Internet of Things Journal, 2025

This paper provides a novel spherical stochastic geometry (SG) based analytical framework for characterizing the uplink access probability of LoRa-based LEO satellite IoT system.

Recommended citation: Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan and M. Matthaiou, "Towards LoRa-Based LEO Satellite IoT: A Stochastic Geometry Perspective," IEEE Internet Things J., vol. 12, no. 15, pp. 30725-30738, 01 Aug. 2025.
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[J27] Ubiquitous UAV Communication Enabled Low-Altitude Economy: Applications, Techniques, and 3GPP’s Efforts

Published in IEEE Network, 2025

This article provides insights into the challenges and opportunities for UAV communication in the evolving low-altitude economy, with a view towards future deployment and regulation.

Recommended citation: D. He, W. Yuan, J. Wu and R. Liu, "Ubiquitous UAV Communication Enabled Low-Altitude Economy: Applications, Techniques, and 3GPP’s Efforts," IEEE Netw., Early Access, May 2025.
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[J28] Data Association for Moving Multi-Target Sensing in Distributed OTFS Radars

Published in IEEE Internet of Things Journal, 2025

This article investigate ISAC-based multi-target sensing with distributed OTFS radars to deliver reliable performance for UAV networks, which leverages the delay and Doppler information featured by OTFS signals to determine the range and radial velocity. Moreover, a novel optimization framework is proposed to perform data association and target sensing tasks.

Recommended citation: B. Li, D. He and Q. Tao, "Data Association for Moving Multi-Target Sensing in Distributed OTFS Radars," IEEE Internet Things J., Early Access, Jun. 2025.
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[J29] Joint Channel and Clipping Amplitude Estimation and Signal Detection for Clipped OTFS

Published in IEEE Transcations on Wireless Communications, 2025

This paper investigates the receiver design for clipped orthogonal time frequency space (OTFS) systems, where the user devices are equipped with power amplifiers (PAs) with low dynamic range.

Recommended citation: Y. Chen, D. He, H. Wang, W. Yuan, and T. Q.S. Quek, "Joint channel and clipping amplitude estimation and signal detection for clipped OTFS," IEEE Trans. Wireless Commun., Early Access, Jun. 2025.
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[J30] Hybrid Beamforming for mmWave Integrated Sensing and Communication with Multi-static Cooperative Localization

Published in IEEE Transcations on Wireless Communications, 2025

This paper investigates hybrid beamforming (HBF) design for millimeter-wave (mmWave) multiple-input multiple-output (MIMO) ISAC system with multi-static cooperative localization.

Recommended citation: M. Yuan, D. He, H. Yin, H. Wang, F. Liu, Z. Wang, and T. Q.S. Quek, "Hybrid Beamforming for mmWave Integrated Sensing and Communication with Multi-static Cooperative Localization," IEEE Trans. Wireless Commun., Early Access, Jul. 2025.
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[J31] Meta-Learning Empowered Receiver Design for MIMO-OFDM System under HPA Nonlinearity

Published in "IEEE Transactions on Vehicular Technology, 2025

This paper investigates a meta-learning empowered detector for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems under nonlinear distortions of high power amplifier (HPA).

Recommended citation: Z. Liu, N. Wu, D. He, W. Yuan, and C. Yuen, "Meta-Learning Empowered Receiver Design for MIMO-OFDM System under HPA Nonlinearity," IEEE Trans. Veh. Technol., Early Access, Jul. 2025.
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[J32] System-Level Performance Analysis of LoRa-Based LEO Satellite Constellations for IoT Communications

Published in "IEEE Wireless Communications Letters, 2025

This letter proposes a novel spherical stochastic geometry (SG)-based analytical framework to characterize the system-level performance of Long-Range (LoRa)-based low Earth orbit (LEO) satellite constellations.

Recommended citation: Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan and M. Matthaiou, "System-Level Performance Analysis of LoRa-Based LEO Satellite Constellations for IoT Communications," IEEE Wireles Commun. Lett., , vol. 14, no. 10, pp. 3279-3283, Oct. 2025.
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[J33] Channel-Adaptive Autoencoder Architecture for Terahertz Aerospace Communications

Published in IEEE Transactions on Vehicular Technology, 2025

This paper proposes a dynamic autoencoder system based on channel prediction to enhance its robustness against complicated dynamic channel fading and distortions in aerospace THz communication systems.

Recommended citation: Y. Huang, T. Mao, D. He, Q. Wang, C. Han, and Z. Wang, "Channel-Adaptive Autoencoder Architecture for Terahertz Aerospace Communications," IEEE Trans. Veh. Technol., Early Access, Aug. 2025.
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[J34] Near-Field Integrated Sensing and Communication: SPEB Analysis and Hybrid Beamforming Design

Published in IEEE Transactions on Cognitive Communications and Networking, 2025

This paper investigates hybrid beamforming (HBF) design for near-field millimeter wave (mmWave) integrated sensing and communication (ISAC) systems, where one base station (BS) equipped with large-scale antenna array simultaneously serves multiple communication users and performs target localization by exploiting the degrees of freedom in both angle and distance domains.

Recommended citation: M. Yuan, D. He, W. Yuan, H. Yin, and H. Wang, "Near-Field Integrated Sensing and Communication: SPEB Analysis and Hybrid Beamforming Design," IEEE Trans. Cogn. Commun. Netw., Early Access, 2025.
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[J35] Tensor-Based Unsourced Random Access for LEO Satellite Internet of Things

Published in IEEE Transactions on Wireless Communications, 2025

This paper investigates massive unsourced random access (URA) paradigm for low earth orbit (LEO) satellite IoT applications, focusing on device separation and signal detection.

Recommended citation: Z. Kang, D. He, H. Wang, W. Yuan, and T. Q.S. Quek, "Tensor-Based Unsourced Random Access for LEO Satellite Internet of Things," IEEE Trans. Wireles. Commun., Early Access, 2025.
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[C21] Closed-Form Access Probability Analysis for LoRa-Based LEO Satellite IoT

Published in 2025 IEEE International Conference on Communications (ICC), 2025

This paper provides a novel analytical framework based on spherical stochastic geometry (SG) for characterizing the uplink access probability of LoRa-based LEO satellite IoT.

Recommended citation: Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan and M. Matthaiou, "Closed-Form Access Probability Analysis for LoRa-Based LEO Satellite IoT," in Proc. 2025 IEEE International Conference on Communications (ICC), Montreal, QC, Canada, 2025, pp. 3193-3199.
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[C22] Hybrid Beamforming for Millimeter-Wave ISAC System with Multi-Static Cooperative Localization

Published in 2025 IEEE International Conference on Communications (ICC), 2025

This paper investigates hybrid beamforming design for millimeter-wave (mmWave) multipleinput multiple-output (MIMO) ISAC system with multi-static cooperative localization, where one access point (AP) simultaneously transmits communication beams to serve multiple user equipments (UEs) and transmits a sensing beam towards a target, and other nearby APs perform cooperative localization on the target by estimating the angle-of-arrivals (AOAs) of received echo signals.

Recommended citation: M. Yuan, D. He, H. Yin and H. Wang, "Hybrid Beamforming for Millimeter-Wave ISAC System with Multi-Static Cooperative Localization," in Proc. 2025 IEEE International Conference on Communications (ICC), Montreal, QC, Canada, 2025, pp. 6729-6734.
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[C23] Two-Step-Search Based Spatio-Temporal Resource Allocation for Task-Oriented Single-Beam Directional Wireless Networks

Published in 2025 6th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), 2025

This paper investigates a mathematical model based on integer linear programming (ILP) is established for spatio-temporal resource allocation, with theoretical upper bounds for network capacity and VoI derived through GUROBI optimizer.

Recommended citation: Z. Wu, Y. Miao, D. He, Y. Cao, H. Wang, and C. Wang, "Two-Step-Search Based Spatio-Temporal Resource Allocation for Task-Oriented Single-Beam Directional Wireless Networks," in Proc. 2025 6th International Conference on Electronic Communication and Artificial Intelligence (ICECAI), Chengdu, China, 2025, pp. 132-138.
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[J36] Cloud–Edge–End CF–MMIMO for UAV Swarms: Integrated Sensing and Robust Interference Detection in Perception Networks

Published in IEEE Transactions on Network Science and Engineering, 2025

This paper proposes a novel cloud-edge-end architecture-based CF-mMIMO communication system to support robust communication in UAV swarm perception networks.

Recommended citation: J. Sun, D. He, H. Hou, P. Du, C. Fang, C,.Zhang, W.Xu, D.Wang, and Y. Huang, "Cloud–Edge–End CF–MMIMO for UAV Swarms: Integrated Sensing and Robust Interference Detection in Perception Networks," IEEE Trans. Netw. Sci. Eng., Early Access, 2025.
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teaching

移动通信（英）

研究生课程（Postgraduate Course）, 北京理工大学，中关村校区研究生楼，珠海校区弘毅楼, 2025

移动通信是现代信息社会的基石，其核心技术历经数代发展已形成坚实的理论体系与实践基础。本课程聚焦移动通信的基础理论与关键技术，深入解析蜂窝小区架构的设计原理（包括频率复用、切换控制、容量规划）、无线信道的传播特性与建模方法（如路径损耗、阴影衰落、多径衰落）、调制解调技术（涵盖经典调制与高效调制方案）的核心机制，以及多址接入技术（FDMA, TDMA, CDMA及其演进）如何实现多用户共享无线资源。课程将系统性地构建从物理层到网络层的知识框架，使学生牢固掌握移动通信系统的核心工作原理、性能评估方法与经典工程实现。通过对这些基础性、根本性技术的学习，学生将为理解当前5G/6G等先进移动通信系统的演进与创新奠定不可或缺的坚实基础。

新一代通信技术及标准化

研究生课程（Postgraduate Course）, 北京理工大学，中关村校区研究生楼, 2025

移动通信技术发展日新月异，面向未来5G-A演进和6G，业界涌现出包括通信感知一体化技术、智能通信技术、空天地一体化网络等一系列新兴关键技术。与此同时，标准化也成为移动通信发展过程中极其重要的环节，是我国在移动通信领域国际竞争中占据领先地位并具有话语权的关键。为推动移动通信及其标准化领域的人才培养，北京理工大学联合中兴通讯无线研究院联合开设“新一代通信技术及标准化”课程。该课程采用学术研讨、课程讲授、专家报告等形式，深入探讨移动通信及其标准化的最新进展与未来趋势。通过该课程的学习，将有望为学生开展领域高水平研究奠定基础，并有助于学生理解通信标准化过程。

通信与网络技术前沿

研究生课程（Postgraduate Course）, 北京理工大学，中关村校区研究生楼, 2025

通信与网络技术正以前所未有的速度革新演进，深刻塑造着未来社会的图景。本课程聚焦通信与网络领域最前沿的发展动态和突破性技术，深入探讨包括但不限于：新一代移动通信（5G-Advanced/6G）的核心增强与创新、智能化网络（AI赋能的网络优化、管理与安全）、通信感知一体化（ISAC）、空天地海一体化网络、太赫兹通信、光通信新技术、以及开放无线接入网（O-RAN）等热点方向。课程采用专家讲座、学术研讨、案例分析等多种形式，紧密结合产业界最新实践与研究进展。通过与行业领军企业的合作，学生将有机会洞悉技术发展趋势，理解标准化进程在推动创新和产业竞争中的关键作用。本课程旨在拓宽学生视野，激发创新思维，为其在快速演进的通信与网络领域开展高水平研究或把握未来职业发展方向奠定坚实基础。

数据通信与网络（英）

本科生课程（Undergraduate Course），专业核心课, 北京理工大学，良乡校区文萃楼, 2025

在信息时代，高效、可靠的数据通信与网络技术已成为社会运行和科技发展的基石。本课程系统性地讲解数据通信与计算机网络的核心原理、关键协议与技术体系。课程内容涵盖信号与通信基本概念、网络协议、数据链路层控制、网络层路由与交换、传输层可靠交付、拥塞控制、以及局域网、广域网、互联网等主流网络架构。通过理论学习与Wireshark实践环节相结合的方式，学生将深入理解TCP/IP协议栈、数据包交换、网络寻址、网络设备工作原理等核心知识，掌握网络分析基本方法。本课程旨在为学生构建坚实的数据通信与网络知识体系，培养解决实际网络工程问题的能力，为从事网络技术研发、运维管理及进一步的专业深造奠定不可或缺的基础。